Blind equalization of time-varying channels: a deterministic multichannel approach

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Abstract

Blind equalization of rapidly changing multipath channels is important for mobile communications, and is addressed here by expanding the time-varying channel over a basis. Time-variation offers diversity and in contrast to time-invariant channels, blind equalization of time-varying channels becomes possible under mild conditions provided that the expansion components can be separated. Multi-channel data are needed for the challenging non-separable case where it is shown that unique vector FIR equalizers exist under certain channel co-primeness conditions. Apart from persistence of excitation, no extra restriction is imposed on the input. Order selection methods and blind equalizers are derived directly from the output data. Preliminary simulations are also presented.

Original languageEnglish (US)
Title of host publicationIEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
Editors Anon
PublisherIEEE
Pages180-183
Number of pages4
StatePublished - Jan 1 1996
EventProceedings of the 1996 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP'96 - Corfu, Greece
Duration: Jun 24 1996Jun 26 1996

Other

OtherProceedings of the 1996 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP'96
CityCorfu, Greece
Period6/24/966/26/96

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    Giannakis, G. B. (1996). Blind equalization of time-varying channels: a deterministic multichannel approach. In Anon (Ed.), IEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP (pp. 180-183). IEEE.